Directional statistics visualization tool

Abstract

A computer-implemented method for visualization of diffusion tensor images includes providing a diffusion tensor image input and providing a volume of interest within the diffusion tensor image input. The method includes determining a plurality of direction-based classifications of the volume of interest, wherein classes are defined by a set of parameters, An optimal solution is then selected within the classifications by using a criterion defined as a ratio of inertia indicators. To represent the chosen classification, a cone graph is determined for each of the directional classes to be displayed or stored, each cone pair being the geometrical interpretation of the class parameters. The method further includes determining a spherical scatterplot of the volume of interest augmented with a cone graph for visualization of at least one of the directional classes, and displaying and/or storing the scatterplot.

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